Topics at the intersection of Artificial Intelligence (AI) and Education.
This blog post discusses the universality of education and artificial intelligence (AI) as fields. It explores how people can enter education for various reasons, such as a passion for their subject or a desire to contribute to society. Reflections include the challenge of designing a system that combines both education and AI, drawing inspiration from the idea of bringing potential to fruition in design, as described by Kenya Hara in "Designing Japan."
This post considers the increasing use of AI systems, particularly Large Language Models (LLMs), in education. The post raises questions about whether AI feedback enhances learning or becomes a crutch. It emphasizes the importance of understanding AI's capabilities and limitations to develop effective policies in education.
Some reflections from my appearence on the Coaching Collaborative Podcast. In the episode we discussed the uncomfortable nature of the unknown, how to align Large Language Models (LLMs) with instructional methods, and the different ways we might conceptualize and approach machine/human collaboration at the intersection of generative AI and education.